Predicting style breaches within textual content
AssigneeAdobe Inc.
InventorsPranav Ravindra Maneriker, Anandhavelu Natarajan, Vivek Gupta, Basava Raj K
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Abstract
Embodiments of the present invention provide systems, methods, and computer storage media directed to facilitating predicting style breaches within content. In one embodiment, target content for which style breach prediction is desired is obtained. Style features associated with the target content are identified. Such style features and a style breach prediction model are used to predict a style breach within the target content, the style breach indicating a change of style used within the target content (e.g., a single document).
Claims20
One or more non-transient computer storage media storing computer-useable instructions that;
- when used by one or more computing devices, cause the one or more computing devices to perform operations comprising:
- obtaining target content for which style breach prediction is desired, the target content comprising content created by a plurality of individuals;
- identifying a set of style features associated with a particular content segment within the target content;
- inputting the set of style features for the particular content segment into a style prediction model;
- based on the set of style features for the particular content segment input into the style prediction model, obtaining a binary value associated with the particular content segment to indicate whether a style breach between the particular content segment and a previous content segments exists;
- and
- predicting a style breach indicating a change in writing style of text between the particular content segment and the previous content segment based on a determination that a binary value associated with the particular content segment is different from a binary value associated with the previous content segment.
A computerized method to facilitate style breach prediction, the method comprising:
- collecting training content having a plurality of content segments;
- identifying style features associated with each content segment of the plurality of content segments of the training content;
- obtaining style breach annotations associated with the training content, the style breach annotations indicating positions at which a style within the training content is perceived as different;
- for each content segment, generating a vector output based on the style breach annotations and the style features associated with the corresponding content segment, wherein the vector output comprises a binary value that, when different from a binary value associated with a previous content segment, indicates a style breach;
- and
- training a style breach prediction model based on the style features and the vector outputs generated for the content segments, the style breach prediction model configured to predict changes in text style within content.
A computer system comprising:
- a model generating means configured to generate a style breach prediction model using style features identified within training content and corresponding style breach annotations;
- and
- a style breach prediction means configured to predict a style breach between a particular content segment and a previous content segment based on a determination that a binary value associated with the particular content segment is different from a binary value associated with the previous content segment.
Dependencies are inferred from the claim text.